A058-0003
Impacts of Modifiable Factors on Ambient Air Pollution: A case study of COVID-19 Shutdowns
Abstract:
We use data from a network of twenty-seven low-cost Real-time Affordable Multi-Pollutant (RAMP) sensor packages deployed throughout urban and suburban Pittsburgh along with data from EPA regulatory monitors. The RAMP locations were divided into four site groups based on land use (High Traffic, Urban Residential, Suburban Residential, and Industrial). Concentration measurements of PM2.5, CO, and NO2 following the COVID-related closures at each site group were compared to measurements from “business as usual” periods in March 2019 and 2020. Overall PM2.5 concentrations decreased across the domain by 3μg/m3. Intra-day variabilities of the pollutants were computed to attribute pollutant enhancements to specific emission sources (i.e. traffic and industrial emissions). The morning rush hour induced CO and NO2 concentrations at the High Traffic sites were reduced by 50%, which is consistent with the observed reduction in commuter traffic (~50%). There was no significant change in the industrial related intra-day variability of PM2.5 and CO at the Industrial sites following the COVID-related closures.
We observe that the morning rush hour peak enhancement from traffic emissions fell from 1.4μg/m3 to ~0μg/m3 across all site groups. This translates to a reduction of 0.125µg/m3 in the daily average PM2.5 concentration. If National Ambient Air Quality Standards (NAAQS) are tightened these calculations shed light on to what extent reductions in traffic related emissions are able to aid in meeting more stringent NAAQS. Further analysis is planned for understanding the effects of closures moving into the fall as business reopen and transit resumes.